Sentence Similarity
Transformers
Safetensors
English
Arabic
Urdu
mentee_embed
feature-extraction
embeddings
retrieval
contrastive-learning
multilingual
from-scratch
custom_code
Instructions to use MenteEAI/mentee-embed-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MenteEAI/mentee-embed-v3 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("MenteEAI/mentee-embed-v3", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 242 Bytes
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{
"idx": 0,
"name": "0",
"path": "",
"type": "sentence_transformers.models.Transformer"
},
{
"idx": 1,
"name": "1",
"path": "1_Pooling",
"type": "sentence_transformers.models.Pooling"
}
] |